rumor spreading and conductance
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Rumor Spreading and Conductance Flavio Chierichetti Silvio Lattanzi - PowerPoint PPT Presentation

Rumor Spreading and Conductance Flavio Chierichetti Silvio Lattanzi Alessandro Panconesi Sapienza University of Rome Why is rumor spreading fast in social networks? How to answer this question? How to define rumor spreading? What


  1. Proof strategy After O( Φ -2 log n) steps we have Vol (INFORMED) > Vol (G)/2 w.h.p. E 1 E 2 P(E 1 ) = P(E 2 )

  2. Proof strategy • After O( Φ -2 log n) steps we have Vol (INFORMED) > Vol (G)/2 w.h.p. • After O( Φ -2 log n) steps each node pulls the information from a set of nodes of Vol (G)/2 w.h.p. • After O( Φ -2 log n) steps all the nodes have the info w.h.p.

  3. Key lemma S’ S After O( Φ -1 ) steps with constant probability, we have that for the new set of informed nodes S’ Vol (S’) ≥ (1+ Ω ( Φ )) Vol (S)

  4. Sketch of the proof S Idea: analyze what happens to each node in S in a macro-phase

  5. Sketch of the proof S v 0

  6. Sketch of the proof S v 0

  7. Sketch of the proof S v 0 G ( v 0 )

  8. Sketch of the proof S v 0 v 1 G ( v 0 )

  9. Sketch of the proof S v 0 v 1 G ( v 0 )

  10. Sketch of the proof S v 0 v 1 G ( v 0 )

  11. Sketch of the proof S v 0 v 1 G ( v 0 )

  12. Sketch of the proof S v 0 v 1 G ( v 0 ) G ( v 1 )

  13. Sketch of the proof S We define the following sets:

  14. Sketch of the proof A S We define the following sets: • A ⊆ S , informed nodes that we still have to consider

  15. Sketch of the proof A S We define the following sets: • A ⊆ S , informed nodes that we still have to consider

  16. Sketch of the proof B A S We define the following sets: • A ⊆ S , informed nodes that we still have to consider • B ⊇ S, informed nodes at the current phase

  17. Sketch of the proof B A S We define the following sets: • A ⊆ S , informed nodes that we still have to consider • B ⊇ S, informed nodes at the current phase

  18. Sketch of the proof B A S We define the following sets: • A ⊆ S , informed nodes that we still have to consider • B ⊇ S, informed nodes at the current phase

  19. Sketch of the proof B A S We define the following sets: • A ⊆ S , informed nodes that we still have to consider • B ⊇ S, informed nodes at the current phase

  20. Sketch of the proof B A S U We define the following sets: • A ⊆ S , informed nodes that we still have to consider • B ⊇ S, informed nodes at the current phase • U useful nodes in A

  21. Sketch of the proof B A S U We define the following sets: • A ⊆ S , informed nodes that we still have to consider • B ⊇ S, informed nodes at the current phase • U useful nodes in A

  22. Sketch of the proof U B S A The set of useful nodes U is v ∈ A | deg + � � B ( v ) deg( v ) ≥ φ U = U B ( A ) = 2

  23. Sketch of the proof U B S A The set of useful nodes U is v ∈ A | deg + � � B ( v ) deg( v ) ≥ φ U = U B ( A ) = 2 1. The cut (U, V - B) is a large part of the cut (S, V - S), which has size at least Φ Vol (S).

  24. Sketch of the proof U B S A The set of useful nodes U is v ∈ A | deg + � � B ( v ) deg( v ) ≥ φ U = U B ( A ) = 2 1. The cut (U, V - B) is a large part of the cut (S, V - S), which has size at least Φ Vol (S). 2. And, furthermore, each node in U will have constant probability of gaining a constant fraction of its edges in the cut.

  25. Sketch of the proof In order to get the key lemma we prove that for every macro- phase, and every v in U � � G ( v ) ≥ 1 20 · deg + ≥ 1 − e − 1 Pr B ( v )

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